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A machine learning model may perform brilliantly on test data, but it can also turn problematic as soon as it is pushed to production. The issue is rarely the algorithm itself. While prototyping and during testing, a model usually runs in an ideal environment where the data is prepared, the infrastructure is known, the inputs are relatively predictable, and someone is usually closely watching the experiment.

The final step in any transaction, payment, is often the most overlooked part of the customer experience. Businesses pour resources into attracting customers and guiding them to a purchase, only to lose them at the last minute because of a clunky, confusing, or untrustworthy payment process. A smooth payment flow isn't just a technical detail; it's important for customer satisfaction and brand loyalty. When a customer decides to buy, giving you their money should be the easiest part of their entire interaction with your brand.

Industry insight and Generative AI address the "imperfection problem".